Cross-channel TV advertising platform with data science and gaming monetization
Simulmedia operates a data-driven TV advertising platform spanning linear, CTV, and gaming, with a modern React/Next.js/TypeScript frontend layered over a Python + Databricks + ML stack (scikit-learn, TensorFlow, PyTorch). The hiring mix—heavy on engineering and leadership roles, light on sales—reflects an inward focus on product rewrite and platform unification rather than field expansion. Active projects signal a shift toward self-service analytics, agentic AI for campaign management, and pharma vertical expansion.
Notable leadership hires: Director Pharma
Simulmedia is a TV advertising technology platform founded in 2008, based in New York. The company serves mid-market and enterprise advertisers looking to plan and buy across linear TV, CTV (connected TV), and free-to-play gaming. The core product, TV+, uses historical viewership data and predictive modeling to optimize audience targeting and media spend. A secondary business, PlayerWON, monetizes engagement in PC and console games. The company operates at 51–200 employees with engineering as the dominant function.
Frontend: React, Next.js, TypeScript, Tailwind CSS, D3.js, Chart.js. Backend: Node.js, Python. Data/ML: Databricks, scikit-learn, TensorFlow, PyTorch, Hugging Face. AI services: OpenAI, Anthropic. Deployment: Vercel.
Platform modernization (rewriting enterprise product, unification), self-service CTV analytics dashboards, agentic AI for campaign automation, PlayerWON operational scaling, and pharma/healthcare vertical expansion.
Other companies in the same industry, closest in size
Simulmedia's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.